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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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enzyme class with applications in industrial biotechnology and drug development. The main model system is bacterial glucuronoyl esterases, which cleave ester bonds linking lignin and carbohydrates in plant
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-Physical Energy Systems The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be
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to develop and validate models for evolutionary and ecological hologenomics at the Center for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen. Our group and research The Center
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. The project involves the development and modelling of hydraulic systems, with particular emphasis on energy-efficient system architectures and appropriate component selection. A key aspect is to incorporate
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Professor Aldo Faisal from Imperial College London involved as international project partner. Research objectives and tasks You will contribute to the development and empirical validation of models
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environment. Our research facilities include access to state of the art pilot plants, ability to use a range of sensors and expertise in process modelling and design. The PhD project will be undertaken in
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to participate in international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https
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international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https://www.cbs.dk/en/research
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ICT, Learning and Organizational Change or the continuing education programme in IT and Learning. Information about the academic content of the programmes is available here: https://www.aau.dk